Bump beam-sdks-java-bom from 2.35.0 to 2.44.0

[dependabot]

Bumps beam-sdks-java-bom from 2.35.0 to 2.44.0.

Release notes

Sourced from beam-sdks-java-bom's releases.

Beam 2.43.0 release

We are happy to present the new 2.43.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.43.0, check out the detailed release notes.

Highlights

• Python 3.10 support in Apache Beam (#21458).
• An initial implementation of a runner that allows us to run Beam pipelines on Dask. Try it out and give us feedback! (Python) (#18962).

I/Os

• Decreased TextSource CPU utilization by 2.3x (Java) (#23193).
• Fixed bug when using SpannerIO with RuntimeValueProvider options (Java) (#22146).
• Fixed issue for unicode rendering on WriteToBigQuery (#10785)
• Remove obsolete variants of BigQuery Read and Write, always using Beam-native variant (#23564 and #23559).
• Bumped google-cloud-spanner dependency version to 3.x for Python SDK (#21198).

New Features / Improvements

• Dataframe wrapper added in Go SDK via Cross-Language (with automatic expansion service). (Go) (#23384).
• Name all Java threads to aid in debugging (#23049).
• An initial implementation of a runner that allows us to run Beam pipelines on Dask. (Python) (#18962).
• Allow configuring GCP OAuth scopes via pipeline options. This unblocks usages of Beam IOs that require additional scopes. For example, this feature makes it possible to access Google Drive backed tables in BigQuery (#23290).
• An example for using Python RunInference from Java (#23290).

Breaking Changes

• CoGroupByKey transform in Python SDK has changed the output typehint. The typehint component representing grouped values changed from List to Iterable, which more accurately reflects the nature of the arbitrarily large output collection. #21556 Beam users may see an error on transforms downstream from CoGroupByKey. Users must change methods expecting a List to expect an Iterable going forward. See document for information and fixes.
• The PortableRunner for Spark assumes Spark 3 as default Spark major version unless configured otherwise using --spark_version. Spark 2 support is deprecated and will be removed soon (#23728).

Bugfixes

• Fixed Python cross-language JDBC IO Connector cannot read or write rows containing Numeric/Decimal type values (#19817).

List of Contributors

According to git shortlog, the following people contributed to the 2.43.0 release. Thank you to all contributors!

Ahmed Abualsaud AlexZMLyu Alexey Romanenko

... (truncated)

Changelog

Sourced from beam-sdks-java-bom's changelog.

[2.44.0] - Unreleased

Highlights

• New highly anticipated feature X added to Python SDK (#X).
• New highly anticipated feature Y added to Java SDK (#Y).

I/Os

• Support for Bigtable sink (Write and WriteBatch) added (Go) (#23324).
• S3 implementation of the Beam filesystem (Go) (#23991).
• Support for SingleStoreDB source and sink added (Java) (#22617).
• Added support for DefaultAzureCredential authentication in Azure Filesystem (Python) (#24210).

New Features / Improvements

• Beam now provides a portable "runner" that can render pipeline graphs with graphviz. See python -m apache_beam.runners.render --help for more details.
• Local packages can now be used as dependencies in the requirements.txt file, rather than requiring them to be passed separately via the --extra_package option (Python) (#23684).
• Pipeline Resource Hints now supported via --resource_hints flag (Go) (#23990).
• Make Python SDK containers reusable on portable runners by installing dependencies to temporary venvs (BEAM-12792).
• RunInference model handlers now support the specification of a custom inference function in Python (#22572)
• Support for map_windows urn added to Go SDK (#24307).

Breaking Changes

• ParquetIO.withSplit was removed since splittable reading has been the default behavior since 2.35.0. The effect of this change is to drop support for non-splittable reading (Java)(#23832).
• beam-sdks-java-extensions-google-cloud-platform-core is no longer a dependency of the Java SDK Harness. Some users of a portable runner (such as Dataflow Runner v2) may have an undeclared dependency on this package (for example using GCS with TextIO) and will now need to declare the dependency.
• beam-sdks-java-core is no longer a dependency of the Java SDK Harness. Users of a portable runner (such as Dataflow Runner v2) will need to provide this package and its dependencies.
• Slices now use the Beam Iterable Coder. This enables cross language use, but breaks pipeline updates if a Slice type is used as a PCollection element or State API element. (Go)#24339

Deprecations

• X behavior is deprecated and will be removed in X versions (#X).

Bugfixes

• Fixed X (Java/Python) (#X).
• Fixed JmsIO acknowledgment issue (Java) (#20814)
• Fixed Beam SQL CalciteUtils (Java) and Cross-language JdbcIO (Python) did not support JDBC CHAR/VARCHAR, BINARY/VARBINARY logical types (#23747, #23526).
• Ensure iterated and emitted types are used with the generic register package are registered with the type and schema registries.(Go) (#23889)

... (truncated)

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[dependabot]

Superseded by #79.